Triple

T17009014
Position Surface form Disambiguated ID Type / Status
Subject Michael Marks E412648 entity
Predicate businessPartner P282 FINISHED
Object Thomas Spencer E574447 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Thomas Spencer | Statement: [Michael Marks, businessPartner, Thomas Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Spencer
Context triple: [Michael Marks, businessPartner, Thomas Spencer]
  • A. Thomas Spencer
    Thomas Spencer is a distinguished mathematician recognized for his influential contributions to mathematical physics and analysis.
  • B. Thomas Spencer chosen
    Thomas Spencer was a British businessman best known as the co-founder of the major retail chain Marks & Spencer.
  • C. William Thacker
    William Thacker is the shy, self-deprecating London bookshop owner portrayed by Hugh Grant in the romantic comedy film "Notting Hill."
  • D. William Holmes Brown
    William Holmes Brown was a long-serving Parliamentarian of the U.S. House of Representatives, known for his expertise in legislative procedure and influential role in guiding House operations.
  • E. Charles Hopkinson
    Charles Hopkinson was an American portrait and landscape painter known for his depictions of prominent early 20th-century figures and his involvement in the Boston art scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3853f548190910240a2145cc890 completed April 18, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc222d108190934ef2b3aa46aa22 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:33 a.m.